jupyterlab-lsp
jupyterlab-git
| jupyterlab-lsp | jupyterlab-git | |
|---|---|---|
| 17 | 7 | |
| 1,732 | 1,394 | |
| 1.2% | 1.0% | |
| 9.4 | 7.7 | |
| 12 days ago | 17 days ago | |
| TypeScript | TypeScript | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
jupyterlab-lsp
- Does Jupyter labs or jupyter notebook have a way to expose python (or C++) objects?
- [D] Why is no one talking about the disadvantages of Colab ?
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Is there anything like a running Jupyter Kernel LSP?
I've recently seen JupyterLab LSP that bring the static analysis aspect of LSP to the notebook, and been wondering if there is anything similar that try to bridge a running kernel back into Neovim.
- Improving Jupyter Lab code entry and editing - recommendations?
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Alternatives to Rstudio
JupyterLab is optimised for handling R, Python and Julia. Code intelligence-wise it requires installing jupyterlab-lsp to get all the best features.
- Good examples of well formatted Jupyter notebooks?
- Jupyterlab-Lsp: Coding Assistance for JupyterLab Using Language Server Protocol
- IDE for data scientists
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Best debugging tool for python
Pylance is really a great LSP in VS Code and it's pretty fast, and Jupyter Lab has an LSP that is also great depending on your use case. VS Code has remote host support for Docker, VMs, etc. depending on what your plans are.
- JupyterLab LSP 3.8 (coding assistance, better autocompletion) released
jupyterlab-git
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The Jupyter+Git problem is now solved
- GitHub PR code reviews with ReviewNB[4]
Alternatively, if you don't care about cell outputs then Jupytext[5]
Disclaimer: I built ReviewNB. It's a completely bootstrapped business, 5 years in the making and now used by leading DS teams at Meta, AWS, NASA JPL, AirBnB, Lyft, Affirm, AMD, Microsoft & more (https://www.reviewnb.com/#customers)
[1] https://github.com/jupyterlab/jupyterlab-git
I use this plugin for my jupyter notebook git integration. It has a git diff option that's useful but gets very slow for complex documents. Perhaps under the hood it's using one of the other tools mentioned in the postscript.
https://github.com/jupyterlab/jupyterlab-git
- Ask HN: Are there any good Diff tools for Jupyter Notebooks?
- Best extensions for JupyterLab!!
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Git extension for JupyterLab 3 released. Node/build step no longer needed (see updated install instructions). Adds commit & push, file browser context menu integration, Ctrl + enter to commit, "update diff" button and more!
Change log for this release: https://github.com/jupyterlab/jupyterlab-git/releases/tag/v0.30.0
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Recommendations for co-working on Jupyter Notebooks
Also there is an awesome jupyterlab-git extension.
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[D] Official Jupyter survey. How can Jupyter bet fit your workflow?
Official git extension https://github.com/jupyterlab/jupyterlab-git
What are some alternatives?
polynote - A better notebook for Scala (and more)
jupyterlab-spreadsheet-editor - JupyterLab spreadsheet editor for tabular data (e.g. csv, tsv)
Spyder - Official repository for Spyder - The Scientific Python Development Environment
debugger - A visual debugger for Jupyter notebooks, consoles, and source files
ansible-language-server - 🚧 Ansible Language Server codebase is now included in vscode-ansible repository
JupyterLab - JupyterLab computational environment.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
jupyterlab-desktop - JupyterLab desktop application, based on Electron.
julia-snail - An Emacs development environment for Julia
nbdime - Tools for diffing and merging of Jupyter notebooks.
jupyter-black - Black formatter for Jupyter Notebook
qgrid - An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks